Technology Adoption in Input-Output Networks Staff working paper 2019-51 Xintong Han, Lei Xu We study how input-output networks affect the speed of technology adoption. In particular, we model the decision to adopt the programming language Python 3 by software packages. Python 3 provides advanced features but is not backward compatible with Python 2, which implies it comes with adoption costs. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, L, L2, L23, L8, L86, O, O1, O14, O3, O33 Research Theme(s): Models and tools, Economic models, Structural challenges, Digitalization and productivity
Monetary Payoff and Utility Function in Adaptive Learning Models Staff working paper 2019-50 Erhao Xie When players repeatedly face an identical or similar game (e.g., coordination game, technology adoption game, or product choice game), they may learn through experience to perform better in the future. This learning behaviour has important economic implications. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C57, C7, C72, C9, C92 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models
Model Uncertainty and Wealth Distribution Staff working paper 2019-48 Edouard Djeutem, Shaofeng Xu This paper studies the implications of model uncertainty for wealth distribution in a tractable general equilibrium model with a borrowing constraint and robustness à la Hansen and Sargent (2008). Households confront model uncertainty about the process driving the return of the risky asset, and they choose robust policies. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D3, D8, E, E2 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
Technological Progress and Monetary Policy: Managing the Fourth Industrial Revolution Staff discussion paper 2019-11 Stephen S. Poloz This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the “fourth industrial revolution.” Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, E, E3, O, O1, O11, O3, O33 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity
Trade Flows and Exchange Rates: Importers, Exporters and Products Staff working paper 2019-41 Michael Devereux, Wei Dong, Ben Tomlin Using highly disaggregated transaction-level trade data, we document the importance of new firm-level trade partner relationships and the addition of new products to existing relationships in driving aggregate trade flows. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F4 Research Theme(s): Financial markets and funds management, International markets and currencies, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, International trade, finance and competitiveness
What Does Structural Analysis of the External Finance Premium Say About Financial Frictions? Staff working paper 2019-38 Jelena Zivanovic I use a structural vector autoregression (SVAR) with sign restrictions to provide conditional evidence on the behavior of the US external finance premium (EFP). The results indicate that the excess bond premium, a proxy for the EFP, reacts countercyclically to supply and monetary policy shocks and procyclically to demand shocks. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32, E4, E44 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
No Double Standards: Quantifying the Impact of Standard Harmonization on Trade Staff working paper 2019-36 Julia Schmidt, Walter Steingress Product standards are omnipresent in industrialized societies. Though standardization can be beneficial for domestic producers, divergent product standards have been categorized as a major obstacle to international trade. This paper quantifies the effect of standard harmonization on trade flows and characterizes the extent to which it changes the cost and demand structure of exporting. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F13, F14, F15, L, L1, L15 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, International trade, finance and competitiveness
The Simple Economics of Global Fuel Consumption Staff working paper 2019-35 Doga Bilgin, Reinhard Ellwanger This paper presents a structural framework of the global oil market that relies on information on global fuel consumption to identify flow demand for oil. We show that under mild identifying assumptions, data on global fuel consumption help to provide comparatively sharp insights on elasticities and other key structural parameters of the global oil market. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C51, L, L7, L71, Q, Q4, Q41, Q43 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Financial Frictions, Durable Goods and Monetary Policy Staff working paper 2019-31 Ugochi Emenogu, Leo Michelis Financial frictions affect how much consumers spend on durable and non-durable goods. Borrowers can face both loan-to-value (LTV) constraints and payment-to-income (PTI) constraints. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E44, E5, E52 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Tail Index Estimation: Quantile-Driven Threshold Selection Staff working paper 2019-28 Jon Danielsson, Lerby Ergun, Casper G. de Vries, Laurens de Haan The most extreme events, such as economic crises, are rare but often have a great impact. It is difficult to precisely determine the likelihood of such events because the sample is small. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C01, C1, C14, C5, C58 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods